78 programming-"https:"-"https:"-"https:"-"https:" research jobs at University of Sydney
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serve. We deliver on this through our commitment to diversity and inclusion , evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers
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the detailed study protocol for the first summer, including research procedures, standard operating procedures, participant documentation, data-collection tools, field manuals and a data-management plan Work
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on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People , women , people living with a
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research Rehabilitation Engineering program at the University of Sydney. The successful candidate will undertake translational research focused on developing and evaluating innovative technologies to improve
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science, statistics, biomedical engineering or a related field strong programming skills in R or Python experience working with spatial omics data, histopathological data, or related large-scale biological datasets
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experience in numerical computation and scientific programming a strong research record and excellent communication and collaboration skills How to Apply Applicants are required to submit three documents as
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Full-time, fixed term until June 2029 Join a leading research program at The University of Sydney (Camperdown and Darlington Campus) Base salary $132,533 + 17% superannuation About the opportunity
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. In order to deliver on the University’s ambitious strategic plan, we are seeking professionals & academics who are passionate about improving health outcomes and/or health equity in the local, national
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as articulated through the Faculty/School/Portfolio’s Strategic Plan/ s or equivalent undertake other duties and contribute to projects appropriate within the classification level as required About you
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that underlie astrophotonic applications demonstrated skills in devising and performing optical laboratory experiments demonstrated skills in scientific / numerical programming and data analysis excellent